Technical Analysis with Python for Algorithmic Trading
Technical Analysis with Python for Algorithmic Trading
Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python
Product Brand: Udemy
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Udemy Coupon Code for Technical Analysis with Python for Algorithmic Trading Course. Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python
Created by Alexander Hagmann | 13.5 hours on-demand video course | 1 downloadable resources
Technical Analysis Course Overview
Technical Analysis with Python for Algorithmic Trading
This Technical Analysis with Python for Algorithmic Trading course clearly goes beyond rules, theories, vague forecasts, and nice-looking charts. (These are useful but traders need more than that.) This is the first 100% data-driven course on Technical Analysis. We´ll use rigorous Backtesting / Forward Testing to identify and optimize proper Trading Strategies that are based on Technical Analysis / Indicators.
This Technical Analysis with Python for Algorithmic Trading course will allow you to test and challenge your trading ideas and hypothesis. It provides Python Coding Frameworks and Templates that will enable you to code and test thousands of trading strategies within minutes. Identify the profitable strategies and scrap the unprofitable ones!
What you’ll learn
- Make proper use of Technical Analysis and Technical Indicators.
- Use Technical Analysis for (Day) Trading and Algorithmic Trading.
- Convert Technical Indictors into sound Trading Strategies with Python.
- Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
- Create and backtest combined Strategies with two or many Technical Indicators.
- Create interactive Charts (Line, Volume, OHLC, etc.) with Python and Plotly.
- Visualize Technical Indicators and Trend/Support/Resistance Lines with Python and Plotly.
- Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
- Load Financial Data from local files and the web.
- Simple Moving Average (SMA) strategies
- Exponential Moving Average (EMA) strategies
- Moving Average Convergence Divergence (MACD) strategies
- Relative Strength Index (RSI) strategies
- Stochastic Oscillator strategies
- Bollinger Bands strategies
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Who this course is for:
- (Day) Traders and Investors who want to make proper use of Technical Analysis.
- (Day) Traders and Investors who want to professionalize their Business.
- Technical Analyst and Chartist who want to improve their work/analysis with powerful Python Coding
- Everyone who wants to do more with Technical Analysis than just telling vague stories and creating pretty charts.
Instructor
He is also a Bestselling Udemy Instructor for
– Data Analysis/Manipulation with Pandas
– (Financial) Data Science
– Python for Business and Finance
– Algorithmic Trading
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
Alexander´s courses have one thing in common: Content and concepts are practical and real-world proven. The clear focus is on acquiring skills and understanding concepts rather than memorizing things.
Alexander holds a Master´s degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).
